eCommerce Data Analyst – Sales, Pricing, Forecasting (m / f / d)

subtel GmbH; Berlin; Vor Ort; EUR 45.000 - 70.000; Vollzeit

Zusammenfassung

A leading company seeks its first dedicated Data Analyst to shape analytics across sales, pricing, and inventory. You will have freedom in designing models and pipelines to directly support commercial decisions and significantly impact revenue growth. Join a dynamic team and pave the way for your career advancement.

Leistungen

Full ownership of analytics function

Clear path to Lead Analyst role

Direct impact on commercial strategy

Qualifikationen

• 2+ years' experience in Data Analytics, ideally in eCommerce or Retail.
• Advanced skills in Power BI, DAX, and Excel.
• Fluent in English - both written and spoken.

Aufgaben

• Build and maintain Power BI dashboards and forecasting models.
• Deliver sales forecasts and pricing models to drive decisions.
• Automate reporting workflows and set data quality best practices.

Kenntnisse

Data Analytics

Statistical Analysis

Data Modeling

Power BI

Power Query

DAX

Technical Documentation

Competitor Analysis

Ausbildung

Degree in Data Analytics, Statistics, Computer Science, or related field

Tools

Microsoft Fabric

Python

SQL

Jobbeschreibung

As subtel’s first dedicated Data Analyst, you will take full ownership of analytics across sales, pricing, inventory, and competition. You will design dashboards, forecasting models, and reporting pipelines based on a new raw data foundation (single source of truth), directly supporting commercial decisions and revenue growth. You will report to the Category Lead and work closely with our Data Engineer.

Your Responsibilities :

• Build and maintain Power BI dashboards integrated with Microsoft Fabric.
• Deliver sales forecasts, pricing models, and competitor analyses to drive business actions.
• Automate reporting workflows and define scalable data models.
• Set and document best practices for data access, quality, and reporting across teams.
• Microsoft Fabric setup based on a consolidated single source of truth.
• Dashboards and models to be created new, with significant freedom to design architecture and logic.
• High direct business impact with visibility across the company.

Your Profile :

• Degree in Data Analytics, Statistics, Computer Science, or a related quantitative field.
• 2+ years' experience in Data Analytics (preferably eCommerce, Retail, or FMCG).
• Advanced Power BI, Power Query, DAX / M, and Excel skills.
• Solid understanding of data modeling, joins, aggregations, and reporting logic.
• Fluent English (written and spoken).

Nice to Have :

• Python (pandas), and SQL skills.
• Experience with Azure environments for data analytics.
• Familiarity with A / B testing and interpreting business experiments.

What We Offer :

• Full ownership of the analytics function.
• Clear path to Lead Analyst role as the team evolves.
• Direct impact on commercial strategy and execution.